Faculty Collaboration Database

Precision Oncology: The UC San Diego Moores Cancer Center PREDICT Experience. Mol Cancer Ther 2016 Apr;15(4):743-52

Date

02/14/2016

Pubmed ID

26873727

DOI

10.1158/1535-7163.MCT-15-0795

Scopus ID

2-s2.0-84964329295 (requires institutional sign-in at Scopus site)   131 Citations

Abstract

By profiling their patients' tumors, oncologists now have the option to use molecular results to match patients with drug(s) based on specific biomarkers. In this observational study, 347 patients with solid advanced cancers and next-generation sequencing (NGS) results were evaluated. Outcomes for patients who received a "matched" versus "unmatched" therapy following their NGS results were compared. Eighty-seven patients (25%) were treated with a "matched" therapy, 93 (26.8%) with an "unmatched" therapy. More patients in the matched group achieved stable disease (SD) ≥ 6 months/partial response (PR)/complete response (CR), 34.5% vs. 16.1%, (P ≤ 0.020 multivariable or propensity score methods). Matched patients had a longer median progression-free survival (PFS; 4.0 vs. 3.0 months, P = 0.039 in the Cox regression model). In analysis using PFS1 (PFS on the prior line of therapy) as a comparator to PFS after NGS, as expected, the unmatched group demonstrated a PFS2 significantly shorter than PFS1 (P = 0.009); however, this shortening was not observed in the matched patients (P = 0.595). Furthermore, 45.3% of the matched patients (24/53) had a PFS2/PFS1 ratio ≥1.3 compared with 19.3% of patients (11/57) in the unmatched group (P = 0.004 univariable and P ≥ 0.057 in multivariable/propensity score analysis). Patients with a "matching-score" (the number of matched drugs divided by the number of aberrations; unmatched patients had a score of zero) > 0.2 had a median overall survival (OS) of 15.7 months compared with 10.6 months when their matching-score was ≤ 0.2, (P = 0.040 in the Cox regression model). Matched versus unmatched patients had higher rates of SD ≥ 6 months/PR/CR and longer PFS, and improvement in OS correlated with a higher matching score in multivariable analysis. Mol Cancer Ther; 15(4); 743-52. ©2016 AACR.

Author List

Schwaederle M, Parker BA, Schwab RB, Daniels GA, Piccioni DE, Kesari S, Helsten TL, Bazhenova LA, Romero J, Fanta PT, Lippman SM, Kurzrock R

Author

Razelle Kurzrock MD Center Associate Director, Professor in the Medicine department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Antineoplastic Combined Chemotherapy Protocols
Biomarkers, Tumor
California
Female
Gene Expression Profiling
Genomics
High-Throughput Nucleotide Sequencing
Humans
Male
Medical Oncology
Middle Aged
Molecular Targeted Therapy
Neoplasms
Precision Medicine
Prognosis
Propensity Score
Proportional Hazards Models
Retrospective Studies
Treatment Outcome